A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment

Yu, Jaehak; Kwon, Soon-Bark; Kang, Hyunjoong; Kim, Sun‐Jin; Bae, Ji‐Hoon; Pyo, Cheol Sig

doi:10.1109/platcon.2018.8472745

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…The autonomy of future IoT networks is projected to minimize working loads by accurately, efficiently, and smartly collecting, processing, and modelling the information [ 127 ]. A semantics framework is needed that provides granularity to distinguish between a multitude of objects and their attributes in the IoT networks [ 127 , 128 , 129 ]. Such a system helps to define and understand the correct object, and can demand the appropriate resource for the desired feature or behavior, thus acting as the central intelligence or brain of the overall operation [ 130 ].…”

Section: Understanding Iot Functional Blocksmentioning

confidence: 99%

A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

Ali

Ishak

Bhatti³

et al. 2022

Sensors

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The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides an array of innovative applications and services. IoT networks enable the integration of data and services to seamlessly interconnect the cyber and physical systems. However, the heterogeneity of devices, underlying technologies and lack of standardization pose critical challenges in this domain. On account of these challenges, this research article aims to provide a comprehensive overview of the enabling technologies and standards that build up the IoT technology stack. First, a layered architecture approach is presented where the state-of-the-art research and open challenges are discussed at every layer. Next, this research article focuses on the role of middleware platforms in IoT application development and integration. Furthermore, this article addresses the open challenges and provides comprehensive steps towards IoT stack optimization. Finally, the interfacing of Fog/Edge Networks to IoT technology stack is thoroughly investigated by discussing the current research and open challenges in this domain. The main scope of this study is to provide a comprehensive review into IoT technology (the horizontal fabric), the associated middleware and networks required to build future proof applications (the vertical markets).

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Section: Understanding Iot Functional Blocksmentioning

confidence: 99%

A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

Ali

Ishak

Bhatti³

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The Internet of everything (IoE) is a term that was first defined by CISCO in 2012 [ 1 ] as a network of networks that reunites people, processes, data, and things in network connections more significant and valuable than ever [ 2 , 3 , 4 ]. While the Internet of things (IoT) is a dynamic global network infrastructure [ 5 ] concerned about things (i.e., physical devices, accessed through the Internet), IoE lays an upper foundation over IoT and is concerned with intelligent network connections and technologies [ 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…For Raj and Prakash [ 13 ], IoE is a superset of IoT and requires advanced capabilities within the area of information sharing. The IoE paradigm can extract and analyze real-time data collected from diverse and heterogeneous IoE environments, from simple sensors and actuators to complex robotic devices, and from autonomous service agents to human actors [ 3 ]. Thus, IoE applications require appropriate measures to be taken in the initial phases of their design and implementation [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Costa

Oliveira

Souza

2021

Sensors

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The paradigm of the Internet of everything (IoE) is advancing toward enriching people’s lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classification of IoE enablers (sensors and actuators); (3) validation of the defined taxonomy with 50 IoE applications; and (4) identification of issues and challenges in existing IoE applications (using the defined taxonomy) with regard to insights about knowledge processes. To the best of our knowledge, and taking into consideration the 76 other taxonomies compared, this present work represents the most comprehensive taxonomy that provides the orchestration of intelligence in network connections concerning knowledge processes, type of IoE enablers, observation characteristics, and technological capabilities in IoE applications.

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Realization of Business Intelligence using Machine Learning

Rath¹

2021

Internet of Things in Business Transformation

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A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment

Cited by 6 publications

References 8 publications

A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface

Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Realization of Business Intelligence using Machine Learning

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